AI agents will soon transform how information is accessed online, with these autonomous applications replacing the need for humans to visit websites. This shift means that traditional web design and user interfaces will become less relevant, as AI agents will handle data collection and task execution. For marketers, this implies a need to adapt strategies by creating content and APIs optimized for AI interactions rather than human engagement.

Helpful agents have the potential to revolutionize technology without the need for significant hardware upgrades or extensive training data. Altman suggests there will be a departure from traditional hardware-centric approaches and a shift towards seamless integration into daily life through existing devices.

Ability AI, a marketing startup, has raised a round to build its marketing agent technologies.

The community is very excited about the potential of Agents to tackle a variety of digital workloads. However, even the best general-purpose models struggle to complete tasks where humans succeed 70%+ of the time. It is becoming clear that we may need specially trained models for these tasks.

AI design tools, like Midjourney, DALL-E, and Adobe Sensei, enhance the design process by handling repetitive tasks, analyzing data, and generating ideas. While they offer speed and efficiency, they lack the human touch needed for emotional and cultural nuances. The future of design lies in blending AI's capabilities with human creativity, allowing designers to focus on strategic and creative aspects and creating more impactful and emotionally resonant work.

AI integration has enabled teams to scale content production efficiently, reducing operational costs by up to 30%. Teams now rely on these tools for tasks like SEO optimization, FAQ generation, and article drafting. All AI-generated content should undergo thorough editing to address errors like hallucinations and formulaic language. Custom AI models tailored to brand voice and tone are becoming increasingly important, as they ensure consistency across content while maintaining a personalized brand identity, allowing marketers to focus on higher-level strategic initiatives.

The rise of AI Overviews and rich snippets in search results is reducing CTRs to traditional websites. Search engines are increasingly delivering concise, relevant information directly in SERPs, often synthesizing content from multiple sources. This shift favors content that is easily understood by both AI algorithms and human users, changing the dynamics of visibility and engagement in search results.

Emerging AI-driven search tools challenge Google by offering direct and explorative answers, but struggle to match its speed, diverse functionalities, and efficient data presentation, underscoring the complexity of replacing traditional search with AI.

Salesforce has debuted Agentforce, its effort to create generative AI bots capable of taking action on their own - within established limits.

Google is incorporating AI into its search engine with features like "AI Overviews" and a new planning tool. It aims to deliver summarized answers, automatic categorization, and personalized results using its Gemini AI to understand queries, generate summaries, and design result pages. For users, this could mean a completely new way to interact with the internet: less typing, fewer tabs, and more chatting with a search engine.

AI-centric communication is expected to fuel a new wave of tech companies and products, similar to how social media platforms arose from earlier internet technologies. While most communication today is done with people through technology, eventually people could primarily just communicate with technology (AI) itself. This will impact human behavior and interaction, but in what direction is unclear.

Anthropic is introducing a "tool use" feature for its Claude AI chatbot, enabling users to create personalized assistants that can interact with any external API. This feature can analyze data, provide product recommendations, track orders, offer technical support, and even process images for applications like interior design.

The true potential of AI lies in vertical B2B applications and how AI agents and open APIs are pivotal in rebundling and creating new business value. Vertical AI's short-term advantage comes from domain-specific models, while long-term success requires horizontal integration into broader ecosystems. AI agents enable the rebundling of workflows, revolutionizing managerial processes and creating new competitive advantages in various industries.

71% of customers are confident in using AI to virtually try on products before buying. This indicates the potential for AI to streamline decision-making processes in online retail. The top generative AI use cases consumers look forward to are automating product filters based on customer needs, creating customized items, and summarizing product reviews.

OpenAI has announced a prototype of an AI-powered search engine with real-time access to information across the internet. SearchGPT can summarize findings and answer questions about queries. It will only be accessible to 10,000 test users at launch. OpenAI is working with third-party partners and using direct content feeds to build its search results.

AI tools simplify user research and provide new ways to gather and analyze data. AI can be used to automate the analysis of large datasets, summarize insights from open-ended survey responses and interview transcripts, and more. It enables businesses to scale user research without adding workload while still ensuring a high level of accuracy. This post walks through examples of how to use ChatGPT for survey analysis and Fathom for interview analysis.

Intelligent androids will be a part of industrial activities and aspects of everyday life over the next decade. Modern AI models have changed the game, allowing robots to learn from online text, images, and videos. This article takes a look at the modern robotics industry, highlighting new technologies, current capabilities, potential applications, major players in the space, and the impacts the technology will have on society.

Despite AI advancements, the pull channel of search, whether through LLMs or traditional blue results, remains essential. There is an ongoing need for SEO champions who understand how to integrate AI tools into their workflows to anticipate changes. This blend of human expertise with AI capabilities enables marketers to deliver exceptional results and maintain relevance in the competitive online arena.

Billions of Google users will soon see AI-generated summaries at the top of many of their search results. The AI Overviews are designed to take out the hard work of searching so users can focus on the important things. Google announced several other AI-powered features at its I/O developer conference, such as a feature in Lens that lets users search by capturing a video, a planning tool that can generate trip itineraries and meal plans with a single query, and suggestions within search results. While similar products have come under scrutiny for summarizing content and not directing users to the actual sources of information, Google says that early data shows that the new way of searching will actually lead to more clicks to the open web.

Andreessen Horowitz put together a blog post and deck outlining the state of play for AI voice agents and where it sees opportunities for innovation and investment. It covers the currently leading infrastructure stack and maps out the current B2B and B2C application layer landscape.

OpenAI is reportedly planning a major announcement on May 9, possibly unveiling a new search engine that could challenge Google. This engine may use Microsoft Bing's infrastructure, aligning with OpenAI CEO Sam Altman's vision of revolutionizing information discovery beyond the current Google model. If true, this could significantly disrupt the search engine market and how users find information online.

Experts.js simplifies the creation and deployment of OpenAI's Assistants, allowing them to be linked together to form a Multi-AI Agent System with expanded memory. It uses OpenAI's Assistants API, which allows for larger context windows, more complex interactions, and better integrations with tools.

While AI-powered chatbots can improve e-commerce experiences, their use also risks driving away customers. 1 in 5 shoppers are likely to abandon purchases after interacting with them due to clunky user experiences. On the other hand, consumers who engage with chatbots don’t mind seeking AI assistance for automated pricing, real-time promotions, and product discovery. The key to the successful integration of AI lies in hyper-personalized recommendations and creating a frictionless shopping experience.

The notion that "AI" will negate the importance of accessibility is wrong. Instead, addressing accessibility demands human-centric solutions tailored to real-world scenarios. While current technology offers tools to foster accessibility, adhering to established guidelines can effectively address user needs without significant alteration.

An AI agent that writes and fixes code for you.

AI is reshaping the future of work, leading to smaller, more efficient teams and an increase in entrepreneurship thanks to AI capabilities being more accessible. While companies are prioritizing hiring for AI skills, there's a need for an honest discussion about AI's impact on job replacement and the creation of new roles. Adoption hiccups persist with AI technologies requiring significant "handholding" due to immature data or systems.

Google's AI Overviews are an attempt to take unstructured data gathered from web content and give a structured answer to a search query, just like answer boxes. Its impact on SEO results will vary widely across industries and categories. For informational content and top-of-funnel keywords, the clickthrough rate will likely decline by over 50%. However, there could be very little traffic loss on topics with deep content or products/service pages that can't easily be summarized.

Reddit and OpenAI have announced a strategic partnership that aims to revolutionize user interactions with online communities through AI-powered features. OpenAI will gain access to Reddit's Data API, enhancing ChatGPT with real-time, relevant information from Reddit's vast content.

OpenAI, the brains behind the wildly popular ChatGPT, aims to rival Google Search by offering a new AI-driven approach to finding information online. SearchGPT compiles its answers using data from Bing and other sources. Reports from early users say that the tool sometimes provides information that is inaccurate or “hallucinated,” presenting confident but incorrect answers.

Field AI, founded by former NASA JPL leader Ali Agha, specializes in autonomous robots that operate in unstructured environments without needing maps, GPS, or human supervision. Using advanced AI models developed from DARPA challenges, the company's robots can adapt to new and changing conditions, significantly enhancing their utility in industrial and construction settings.